The Dynamics of Trust and Verbal Anthropomorphism in Human-Autonomy Teaming

Cohen, Myke C.; Demir, Mustafa; Chiou, Erin K.; Cooke, Nancy J.

doi:10.1109/ichms53169.2021.9582655

Cited by 16 publications

(11 citation statements)

References 32 publications

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“…Interactive team cognition theory (Cooke et al, 2013) suggests that factors like trust and anthropomorphism may evolve dynamically as teammates observe team cognitive artifacts that arise from their interactions. Thus, studies on teams with more than two members may benefit from exploring trust and anthropomorphism through interactive communication measures, such as the usage of using personifying or objectifying references to a robot (M. C. Cohen et al, 2021). Finally, future research should consider how language-based confidence communication affects HRT processes and performance as anthropomorphism moderates the relationships between dispositional, perceptual, and behavioral trust.…”

Section: Discussionmentioning

confidence: 99%

“…Supposing that trusting and anthropomorphic attitudes toward robot teammates form interdependently (M. C. Cohen et al, 2021), predicting how a robot's communication abilities will affect trust must also account for how they may contribute to it being perceived anthropomorphically. In this study, we explore two questions surrounding how communication-related anthropomorphism moderates the relationships between dispositional, perceptual, and behavioral trust.…”

Section: Introductionmentioning

confidence: 99%

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Anthropomorphism Moderates the Relationships of Dispositional, Perceptual, and Behavioral Trust in a Robot Teammate

Cohen,

Peel,

Scalia

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

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Trust plays a critical role in the success of human-robot teams (HRTs). While typically studied as a perceptual attitude, trust also encompasses individual dispositions and interactive behaviors like compliance. Anthropomorphism, the attribution of human-like qualities to robots, is a related phenomenon that designers often leverage to positively influence trust. However, the relationship of anthropomorphism to perceptual, dispositional, and behavioral trust is not fully understood. This study explores how anthropomorphism moderates these relationships in a virtual urban search and rescue HRT scenario. Our findings indicate that the moderating effects of anthropomorphism depend on how a robot’s recommendations and its confidence in them are communicated through text and graphical information. These results highlight the complexity of the relationships between anthropomorphism, trust, and the social conveyance of information in designing for safe and effective human-robot teaming.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Anthropomorphism Moderates the Relationships of Dispositional, Perceptual, and Behavioral Trust in a Robot Teammate

Cohen,

Peel,

Scalia

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

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“…Trust has been studied in multiple contexts, including interpersonal relationships (Mayer et al, 1995) and human-automation interaction (Lee & See, 2004). Trust within HATs is commonly defined using Lee and See's (2004) definition of trust in human-automation interaction (Cohen et al, 2021;Demir et al, 2021): "the attitude that an agent will help achieve an individual's goal in a situation characterized by uncertainty and vulnerability" (pg. 51).…”

Section: Trust In Human-artificial Intelligence Teamingmentioning

confidence: 99%

Exploring the Relationship Between Ethics and Trust in Human–Artificial Intelligence Teaming: A Mixed Methods Approach

Textor

Zhang

Lopez

et al. 2022

Journal of Cognitive Engineering and Decision Making

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Advancements and implementations of autonomous systems coincide with an increased concern for the ethical implications resulting from their use. This is increasingly relevant as autonomy fulfills teammate roles in contexts that demand ethical considerations. As AI teammates (ATs) enter these roles, research is needed to explore how an AT’s ethics influences human trust. This current research presents two studies which explore how an AT’s ethical or unethical behavior impacts trust in that teammate. In Study 1, participants responded to scenarios of an AT recommending actions which violated or abided by a set of ethical principles. The results suggest that ethicality perceptions and trust are influenced by ethical violations, but only ethicality depends on the type of ethical violation. Participants in Study 2 completed a focus group interview after performing a team task with a simulated AT that committed ethical violations and attempted to repair trust (apology or denial). The focus group responses suggest that ethical violations worsened perceptions of the AT and decreased trust, but it could still be trusted to perform tasks. The AT’s apologies and denials did not repair damaged trust. The studies’ findings suggest a nuanced relationship between trust and ethics and a need for further investigation into trust repair strategies following ethical violations.

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“…HAT refers to the collaborative relationship between humans, autonomous systems (ASs), and AI/ML algorithms in the shared work environment. [3][4][5][6][7] Humans have less direct insight into the actions and processes of machines in this relationship and their immediate impact on the shared task environment (see Figure 1). Therefore, this teaming involves the integration of different components such as perception, decisionmaking, and physical capabilities, into a single system that can perform tasks more effectively than either human or autonomous entities working alone.…”

Section: Introductionmentioning

confidence: 99%

Joint human and autonomy teaming for defense: status, challenges, and perspectives

El Alami,

Nwosu,

Rawat

2023

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V

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Human and Autonomy Teaming (HAT) involves humans, artificial intelligence and machine learning (AI/ML), and autonomous systems (AS) working together to enhance performance and efficiency across a variety of fields. The purpose of this paper is to outline the current status, challenges, and perspectives related to HAT in the defense applications, such as multi-domain operations (MDOs). This paper emphasizes that, although ASs have numerous benefits, humans, and machines need to work together to ensure effective communication and coordination. Furthermore, this paper addresses the issues of situation awareness, HAT bias, security, privacy, confidentiality, trust, transparency, and explainability as they relate to joint HAT in MDOs. Finally, this paper explores the potential of perspectives to overcome these challenges and enhance collaboration between humans, AI/ML, and AS in the context of defense.

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The Dynamics of Trust and Verbal Anthropomorphism in Human-Autonomy Teaming

Cited by 16 publications

References 32 publications

Anthropomorphism Moderates the Relationships of Dispositional, Perceptual, and Behavioral Trust in a Robot Teammate

Anthropomorphism Moderates the Relationships of Dispositional, Perceptual, and Behavioral Trust in a Robot Teammate

Exploring the Relationship Between Ethics and Trust in Human–Artificial Intelligence Teaming: A Mixed Methods Approach

Joint human and autonomy teaming for defense: status, challenges, and perspectives

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